Abstract
Cloud system is difficult to be modeled and evaluated due to its large scale, complex structures, outstanding dynamics, and strong correlations among layers. Aiming to solve this problem, an evaluation model of cloud system is proposed based on queuing Petri net (QPNC). QPNC can effectively model and simulate complex cloud systems due to its strong capabilities of quantitative evaluation and behavioral description resulting from combining the theoretical characteristics of queuing theory and Petri net. On the basis of the model, we further improve the quantitative analysis and evaluation system of cloud system, and simulated a cloud system with dynamic service under a massively parallel environment. Experimental results show that QPNC is able to effectively reflect the architecture characteristics of various cloud system at the perspectives of performance, service, etc., and highly simulated various kinds of dynamic service behaviors of cloud systems.
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Acknowledgments
This work is partially supported by Natural Science Foundation of China under the grant No. U1304603, 11301488, the Natural Science Fund of Jilin Province under Grant No. 20130101055JC, the Jilin Development of Science and Technology Plan Projects under Grant No. 20150204005GX, the Significant Science and Technology Plan Project of Changchun under Grant No. 14KG082, the Industrial Technology Research and Development Special Project of Jilin Province under Grant No. 2011006-9. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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Cao, Y., Lu, H., Shi, X., Duan, P. (2015). Evaluation Model of the Cloud Systems Based on Queuing Petri Net. In: Wang, G., Zomaya, A., Martinez, G., Li, K. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2015. Lecture Notes in Computer Science(), vol 9532. Springer, Cham. https://doi.org/10.1007/978-3-319-27161-3_37
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DOI: https://doi.org/10.1007/978-3-319-27161-3_37
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